Lead Java Spark and Big Data Developer

  As a Lead Java, Spark and Big Data Engineer, you will architect and deliver large-scale, distributed technology solutions that process massive volumes of data for one of the world's largest financial institutions. Working within Citi's global technology organization, you will shape architecture decisions, build high-performance applications using Java and Apache Spark, and guide software delivery from design through production. This hands-on leadership role offers the opportunity to influence technology strategy and solve complex engineering challenges that support critical business functions worldwide.  

Responsibilities

• Lead the architecture, design, and development of large-scale, high-performance applications using Java, Apache Spark, and Big Data technologies.
• Shape technical strategy and influence architecture decisions across multiple platforms and applications.
• Drive modernization initiatives that advance cloud-ready architectures, microservices transformation, and engineering automation.
• Design distributed data processing solutions that handle high-volume, high-velocity datasets.
• Build scalable APIs, microservices, and event-driven solutions that support enterprise-wide platforms.
• Own end-to-end software delivery from solution design through production deployment and ongoing support.
• Strengthen performance, reliability, and operational stability by implementing CI/CD pipelines, automated testing, and rigorous code and design reviews.
• Mentor engineers and collaborate with architects, product owners, and global technology partners to advance engineering standards and adopt emerging technologies.

Required Qualifications & Skills

• 13+ years of software engineering experience, including deep expertise in enterprise-scale Java application development.
• Hands-on proficiency in Core Java (8, 11, or 17+), Apache Spark, distributed computing, and large-scale data processing.
• Working knowledge of microservices architecture and RESTful API design for enterprise platforms.
• Solid grounding in software design patterns, object-oriented design, and scalable architecture practices.
• Skilled in SQL and database performance tuning for high-throughput systems.
• Familiarity with Git, JIRA, Confluence, and CI/CD platforms within modern software development lifecycle processes.
• Ability to lead complex technical initiatives, influence engineering decisions, and communicate effectively with stakeholders.

Beneficial Skills & Qualifications

• Exposure to Big Data ecosystem tools such as Hadoop, Hive, HBase, or Kafka.
• Hands-on experience with public cloud platforms such as AWS, GCP, or Azure.
• Knowledge of containerization and orchestration tools such as Docker and Kubernetes.
• Experience with event-driven architecture and streaming technologies.
• Background in financial services, capital markets, or other regulated industries.

What We Offer

Join a global technology organization that powers financial services for clients around the world, with the scale and resources to match your ambitions.

• Contribute to large-scale systems that support critical business functions for clients across the globe.
• Shape architecture decisions and long-term technology strategy at enterprise scale.
• Collaborate with experienced engineers and technology leaders to solve complex data and engineering challenges.
• Work a hybrid schedule with three days in the office and two days working remotely.
• Build long-term financial wellbeing through competitive compensation and development opportunities that support career growth.

  Apply today to lead the engineering of Citi's next-generation data platforms and make a lasting impact at global scale.  

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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